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Journal of Emerging Trends in Blockchain Technology (JETBT)

Journal of Emerging Trends in Blockchain Technology

ISSN No: 2984-8830 | ESTD Year: 2023 | Free Publication

Scholarly Open-Access, Transparent Peer-Reviewed, Refereed, UGC Care Journal Publication,

Multidisciplinary, Indexed in major databases, with CrossRef DOI.

8.25
Impact Factor
DOI
CrossRef
Peer Review
Refereed
Open Access
Article Access
2984-8830
ISSN

Important Journal Details

Title:
Journal of Emerging Trends in Blockchain Technology (JETBT)
Journal Short Name:
JETBT
e-ISSN (Online):
2984-8830
Year of Establishment:
2023
Frequency of the Publication:
Yearly (1 Issue / year)
Publication URL:
https://jetbt.org
Related Subject:
Blockchain Architecture & ProtocolsConsensus MechanismsN...+ View more
Language:
English
Editor-in-Chief:
Dr. Parin Patel
Editorial Board:
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Journal's Email ID:
editor@ijpub.org

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Publisher Details

Responsible Person Name:
IJ Publication
Publisher Website Url:
https://ijpub.org
Address:
B 1205 Ganesh Glory 11 Jagatpur, Ahmedabad

Journal Features

Rigorous Peer Review

All submissions undergo thorough evaluation by experts in the field to ensure quality and validity.

Global Reach

Published papers reach an international audience of researchers, academics, and industry professionals.

Rapid Publication

Efficient review process ensures timely publication of accepted papers without compromising quality.

Open Access

All published papers are freely accessible online, maximizing visibility and impact of your research.

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Peer Review

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Publication

Accepted papers are published worldwide

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Cover image for Hybrid Machine Learning and Blockchain Approaches for Secure and Transparent Stock Prediction in India

Hybrid Machine Learning and Blockchain Approaches for Secure and Transparent Stock Prediction in India

Dr. Kaushal Jani, Dr. Nisarg Patel

Indian stock market, predictive analytics, blockchain technology, machine learning, LSTM, XGBoost, Random Forest, stock price forecasting, data integrity, data security, transparency, smart contracts, IPFS, decentralized storage, cryptographic hashing, hybrid model, financial technology, FinTech, regulatory compliance, data transparency, auditability, forecasting accuracy

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8.25
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